Vacancy Description
Take the helm as Fraud Data Science Lead in Toronto, Canada, shaping AI-driven fraud detection models. Lead a senior team to explore advanced machine learning techniques in fraud management.
This leadership role involves mentoring senior data scientists while establishing and refining strategies for developing predictive fraud detection models. You will collaborate across departments to validate models and develop techniques to minimize emerging fraud risks. Your influence as a Subject Matter Expert will enhance the overall fraud decision-making framework.
Key Responsibilities:
• Mentor a team of senior data scientists
• Develop and implement ML strategies and frameworks
• Conduct technical validations for model performance
• Collaborate with stakeholders on continuous improvements
• Drive automation and efficiency through analytical solutions
Requirements:
• Over 5 years in Machine Learning and data analysis
• 1–3 years in managing data science teams
•...
This leadership role involves mentoring senior data scientists while establishing and refining strategies for developing predictive fraud detection models. You will collaborate across departments to validate models and develop techniques to minimize emerging fraud risks. Your influence as a Subject Matter Expert will enhance the overall fraud decision-making framework.
Key Responsibilities:
• Mentor a team of senior data scientists
• Develop and implement ML strategies and frameworks
• Conduct technical validations for model performance
• Collaborate with stakeholders on continuous improvements
• Drive automation and efficiency through analytical solutions
Requirements:
• Over 5 years in Machine Learning and data analysis
• 1–3 years in managing data science teams
•...
Ready to Apply?
अभी आवेदन करें
Submit your application for Fraud Data Science Lead – AI Innovation at 0000050007 Royal Bank of Canada
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